| OG_nnaro vs Clive | 10–16 | 38.46% |
| OG_nnaro vs Kazuya | 10–15 | 40.00% |
| OG_nnaro vs Jin | 10–12 | 45.45% |
| OG_nnaro vs Lili | 16–5 | 76.19% |
| OG_nnaro vs King | 10–9 | 52.63% |
| OG_nnaro vs Steve | 9–9 | 50.00% |
| OG_nnaro vs Law | 7–10 | 41.18% |
| OG_nnaro vs Dragunov | 5–11 | 31.25% |
| OG_nnaro vs Nina | 5–11 | 31.25% |
| OG_nnaro vs Heihachi | 7–9 | 43.75% |
| OG_nnaro vs Asuka | 8–7 | 53.33% |
| OG_nnaro vs Hwoarang | 3–10 | 23.08% |
| OG_nnaro vs Bryan | 4–9 | 30.77% |
| OG_nnaro vs Eddy | 6–7 | 46.15% |
| OG_nnaro vs Azucena | 8–4 | 66.67% |
| OG_nnaro vs Yoshimitsu | 4–7 | 36.36% |
| OG_nnaro vs Xiaoyu | 5–6 | 45.45% |
| OG_nnaro vs Lidia | 5–6 | 45.45% |
| OG_nnaro vs Leo | 5–5 | 50.00% |
| OG_nnaro vs Raven | 7–3 | 70.00% |
| OG_nnaro vs Jun | 5–3 | 62.50% |
| OG_nnaro vs Devil Jin | 2–5 | 28.57% |
| OG_nnaro vs Reina | 2–5 | 28.57% |
| OG_nnaro vs Victor | 1–6 | 14.29% |
| OG_nnaro vs Feng | 2–3 | 40.00% |
| OG_nnaro vs Shaheen | 3–2 | 60.00% |
| OG_nnaro vs Kuma | 4–1 | 80.00% |
| OG_nnaro vs Paul | 2–2 | 50.00% |
| OG_nnaro vs Lars | 2–2 | 50.00% |
| OG_nnaro vs Jack-8 | 2–1 | 66.67% |
| OG_nnaro vs Alisa | 2–1 | 66.67% |
| OG_nnaro vs Lee | 2–1 | 66.67% |
| OG_nnaro vs Claudio | 2–0 | 100.00% |
| OG_nnaro vs Zafina | 2–0 | 100.00% |
| OG_nnaro vs Panda | 0–1 | 0.00% |
| OG_nnaro vs Leroy | 0–1 | 0.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.